2013
DOI: 10.1007/s00024-013-0669-7
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Quantitative and Qualitative Assessment of Soil Erosion Risk in Małopolska (Poland), Supported by an Object-Based Analysis of High-Resolution Satellite Images

Abstract: Abstract-In 2011 the Marshal Office of Małopolska Voivodeship decided to evaluate the vulnerability of soils to water erosion for the entire region. The quantitative and qualitative assessment of the erosion risk for the soils of the Małopolska region was done based on the USLE approach. The special workflow of geoinformation technologies was used to fulfil this goal. A high-resolution soil map, together with rainfall data, a detailed digital elevation model and statistical information about areas sown with pa… Show more

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Cited by 53 publications
(37 citation statements)
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“…The use of high-resolution true color and false color (VNIR) RGB composite aerial photos (also stereoscopic solutions) and multispectral satellite images, has become much easier during the last few decades. A multitude of environmental research has confirmed the possibility of using this geodata supported by GIS analyses for remote and automated environment monitoring in the area of nature protection, forestry, meteorology, climatology and hydrology (Coops, White 2003, Corona et al 2008, Drzewiecki et al 2014, Latifi, Galos 2010, Wężyk et al 2013. The role played by image 6 MARTA SzOSTAK, PIOTR WężyK, PAWEł HAWRyłO, MARTA PUCHAłA classification based on multi-source, multi-resolution and multi-temporal remote sensed data is ever increasing in the environmental studies field.…”
Section: Introductionmentioning
confidence: 93%
“…The use of high-resolution true color and false color (VNIR) RGB composite aerial photos (also stereoscopic solutions) and multispectral satellite images, has become much easier during the last few decades. A multitude of environmental research has confirmed the possibility of using this geodata supported by GIS analyses for remote and automated environment monitoring in the area of nature protection, forestry, meteorology, climatology and hydrology (Coops, White 2003, Corona et al 2008, Drzewiecki et al 2014, Latifi, Galos 2010, Wężyk et al 2013. The role played by image 6 MARTA SzOSTAK, PIOTR WężyK, PAWEł HAWRyłO, MARTA PUCHAłA classification based on multi-source, multi-resolution and multi-temporal remote sensed data is ever increasing in the environmental studies field.…”
Section: Introductionmentioning
confidence: 93%
“…The area undergoing significant erosional transformations covers about 7.0% of the country's area (Wawer and Nowocieñ 2007). Recent assessment of actual erosion risk done based on the USLE approach (Drzewiecki et al 2014) showed that more than 25% of Ma³opolska Voivodeship area is threatened by moderate, average, strong or very strong erosion.…”
Section: Introductionmentioning
confidence: 99%
“…Wawer and Nowocieñ 2007, Drzewiecki and Mularz 2005, Drzewiecki et al 2014 or field works (e.g. Marcinek andKomisarek 2004, OEwitoniak 2014).…”
Section: Introductionmentioning
confidence: 99%
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“…Contrary to the pixel based classification techniques, object based image analysis (OBIA) can replace the traditional methods of visual interpretation (Lewiñski, 2007) or even the supervised classification method commonly used today (Mas et al, 2010). Object oriented approach to classification is particularly well suited for high-resolution images (Drzewiecki et al, 2013;Tansey et al, 2009;Szostak et al, 2013). OBIA technique extends the standard classification methods that are based only on single pixel values.…”
Section: Introductionmentioning
confidence: 99%